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Botnet detection based on generative adversarial network [PDF]
Tongxin xuebao, 2021 In order to solve the problems of botnets’ strong concealment and difficulty in identification, and improve the detection accuracy of botnets, a botnet detection method based on generative adversarial networks was proposed.By reorganizing the data ...
Futai ZOU +3 more
doaj +4 more sources
BOTNET DETECTION USING INDEPENDENT COMPONENT ANALYSIS
International Islamic University Malaysia Engineering Journal, 2022 Botnet is a significant cyber threat that continues to evolve. Botmasters continue to improve the security framework strategy for botnets to go undetected.
Wan Nurhidayah Ibrahim +3 more
doaj +3 more sources
Multilayer Framework for Botnet Detection Using Machine Learning Algorithms
IEEE Access, 2021 A botnet is a malware program that a hacker remotely controls called a botmaster. Botnet can perform massive cyber-attacks such as DDOS, SPAM, click-fraud, information, and identity stealing. The botnet also can avoid being detected by a security system.
Wan Nur Hidayah Ibrahim +2 more
exaly +3 more sources
Explainable artificial intelligence for botnet detection in internet of things [PDF]
Scientific ReportsThe proliferation of internet of things (IoT) devices has led to unprecedented connectivity and convenience. However, this increased interconnectivity has also introduced significant security challenges, particularly concerning the detection and ...
Mohamed Saied, Shawkat Guirguis
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A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks
IEEE Access, 2021 The botnet attack is a multi-stage and the most prevalent cyber-attack in the Internet of Things (IoT) environment that initiates with scanning activity and ends at the distributed denial of service (DDoS) attack.
Fawad Hussain +2 more
exaly +3 more sources
Measurement: Sensors, 2023 With various malware, botnets are the legitimate risk increasing against cybersecurity providing criminal operations like malware dispersal, distributed denial of service attacks, fraud clicking, phishing, and identification of theft. Existing techniques
Sathiyandrakumar Srinivasan +1 more
doaj +1 more source
Botnet Identification Technology Based on Fuzzy Clustering [PDF]
Jisuanji gongcheng, 2018 A Botnet that combining worms,backdoors,and Trojans has become the backing of Advanced Persistent Threat(APT) attacks because it can be used by attackers to send spam,perform denial of service attacks,and steal sensitive information.Existing Botnet ...
CHEN Ruidong,ZHAO Lingyuan,ZHANG Xiaosong
doaj +1 more source
An Automated Behaviour-Based Clustering of IoT Botnets
Future Internet, 2021 The leaked IoT botnet source-codes have facilitated the proliferation of different IoT botnet variants, some of which are equipped with new capabilities and may be difficult to detect.
Tolijan Trajanovski, Ning Zhang
doaj +1 more source
Large-scale Malicious P2P Botnet Node Detection Technology Based on Challenge Strategy [PDF]
Jisuanji gongcheng, 2016 Traditional botnet detection technologies mainly detect botnet nodes in specified area network on the hosts or the border of gateway export,which have small scale and low detection efficiency.To efficiently execute Peer-to-Peer(P2P) network botnet node ...
LI Jing,YAO Yiyang,LU Xindai,QIAO Yong
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Design of Universal Botnet Experimental Platform [PDF]
Jisuanji gongcheng, 2018 Botnet research in open networks has many drawbacks,such as uncontrollable process,difficult to scale,and unable to repeat experiments.In order to solve this problem,the requirement and design principle of the universal botnet experimental platform with ...
LI Dawei
doaj +1 more source